Ahmad Mouri Zadeh Khaki / 아흐마드 모우리 자데 카키
Postdoctoral Researcher
ahmadmouri@kaist.ac.kr
0000-0003-2682-3155 
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Ahmad Mouri Zadeh Khaki is a Post-doctoral Researcher at the Cho Chun Shik Graduate School of Mobility at the KAIST. He received his Ph.D. degree in Electrical Engineering - Electronics from Islamic Azad University (IAU), Iran, in 2020. He is currently working on LLM-based Multi-agent Systems and FPGA acceleration of deep learning algorithms for Robots and Autonomous Vehicles applications.
His research interests include Embedded Systems, Deep Learning, and Multi-agent Systems.
Education
- September 2014 - September 2020, Ph.D. in Electrical Engineering - Electronics, IAU, Iran
- September 2011 - September 2013, M.S. in in Electrical Engineering - Electronics, IAU, Iran
- September 2007 - February 2011, B.S. in in Electrical Engineering - Electronics, IAU, Iran
Professional Experience
- March 2024 - November 2025, Assistant Professor, Gachon University, South Korea
- May 2022 - March 2024, Post-doctoral Researcher, Gwangju Institute of Science and Technology (GIST), South Korea
- February 2014 - August 2020, Lecturer, IAU, Iran
Key Publications
- Low-latency and Resource-efficient Semantic Segmentation Via FPGA Acceleration for Autonomous Vehicles: A Transfer Learning Approach using Xilinx Vitis AI (Under Review), J. of Supercomputing, 2025
- Real-time and resource-efficient embedded computer vision via optimizing lightweight CNNs for FPGA acceleration, J. of Signal Proc. Systems, Vol 97, pp. 185-195, 2025
- Simulating Social Behavior of LLM-Based Autonomous Negotiator Agents in a Game-Theoretical Framework Using Multi-Agent Systems, Int. J. of HCI, 2025
- Optimizing Deep Learning Acceleration on FPGA for Real-Time and Resource-Efficient Image Classification, Applied Sciences, 15(1), 422, 2025